This three-year, $193,160 Project Grant from the National Science Foundation Office of Integrative Activities, under the Geosciences program (CFDA 47.050), supports the development of enhanced processing capabilities for the GMTSAR InSAR software. The University of California San Diego Scripps Institution of Oceanography will streamline GMTSAR to enable efficient processing of very large Interferometric Synthetic Aperture Radar (InSAR) data sets in cloud computing environments. Specifically, the...
This $274,727 federal Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program will support Changeaerial LLC in San Diego, CA to integrate deep learning algorithms for UAS-based infrastructure inspection. The goal is to develop automated monitoring capabilities to improve the resilience of the electric power grid through more effective and efficient inspection of electric infrastructure using uncrewed autonomous...
This $452,604 Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) supports the development of a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to revolutionize earthquake science. The project aims to train the AI model on vast archives of seismic data to identify and characterize earthquake signals, leveraging cutting-edge techniques like transformer models. This research will focus on improving earthquake detection,...
The National Science Foundation awarded a $275,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) to Gaia AI, Inc. for a one-year project ending April 2024. The grant funds the development of techniques to combine disparate data sources including LiDAR, satellite imagery, and drone data to construct high-fidelity digital twins of forests. By expressing LiDAR metrics in a way that associates them with top-down imagery, the awardee aims to build...
The National Science Foundation awarded a $275,000 Small Business Innovation Research Phase I Project Grant to Applied Research Team Inc. of Denver, Colorado under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084). The grant will support the development of machine learning algorithms to improve snowpack depth and water content retrieval from C-band and X-band radar data. Accurate snowpack information is critical for water management in the Western U.S., but current retrieval...
This Project Grant award from the National Science Foundation's Geosciences Program (CFDA 47.050) provides $300,001 to Trustees of Boston University to develop a foundational Artificial Intelligence (AI) model for advanced seismic data analysis to improve earthquake detection, localization, and characterization. The project aims to revolutionize earthquake science by using AI to unravel patterns in seismic data, leading to more accurate tools for earthquake monitoring and potential prediction....
The National Science Foundation (NSF) awarded a $274,361 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Terra AI, Inc., a for-profit company based in Sunnyvale, CA. The award period is from September 1, 2024 to August 31, 2025. The grant will fund the development of AI systems and methods to accelerate the discovery and extraction of critical natural resources such as copper, nickel, cobalt, and rare earth minerals. The project aims to improve...
This National Science Foundation (NSF) Division of Earth Sciences Project Grant, funded under CFDA 47.050 Geosciences, provides $180,000 over 2 years starting August 1, 2023 to explore the significance of spatial field data from integrated satellite remote sensing and GPS time series for machine learning and volcanic early warning applications. The project aims to integrate data from satellite radar, GPS, and high-resolution digital elevation models to generate 3D time series of surface...
This Project Grant award, funded by the National Science Foundation (NSF) under the Geosciences program (CFDA 47.050), supports research to develop new technologies that integrate advanced artificial intelligence (AI) and machine learning (ML) with established geoscientific domain knowledge to enhance understanding of landslide causality. The $674,291 award, effective October 1, 2024 through September 30, 2027, will enable the Research Foundation of the City University of New York (RFCUNY) to:...
This National Science Foundation (NSF) Project Grant award under the Geosciences Program (CFDA 47.050) provides $299,539 to the Georgia Tech Research Corporation to develop advanced machine learning models and algorithms to study the intricate dynamics of earthquakes. The key objectives are to uncover precursory signals that may precede major seismic events, enhance earthquake forecasting capabilities, and create open-source tools accessible to researchers and practitioners worldwide. The...